Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are...

The recent global financial crisis has forced a re-examination of risk transmission in the financial sector and how it affects financial stability. Current macroprudential policy and surveillance (MPS) efforts are aimed establishing a regulatory framework that helps mitigate the risk from...

The paper provides robust evidence that compliance with Basel Core Principles (BCPs) has a strong positive effect on the Z-score of conventional banks, albeit less pronounced on the Zscoreof Islamic banks. Using a sample of banks operating in 19 developing countries, the results appear to be...

This study uses bivariate extremal dependence measures, based on the number of equity return co-exceedances in two markets, to quantify both negative and positive equity returns contagion in mature and emerging equity markets during the past decade. The results indicate (a) higher contagion for...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes...

This paper analyzes the potential risks and vulnerabilities of non-financial corporates in Latin America and Canada. We quantify the impact of company-specific, countryspecific, and global factors in driving corporate spreads. Overall, we found that all these factors play a role in explaining...

We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms' accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient...

This paper analyzes a group of 755 firms, with aggregate indebtedness of US$6.2 trillion, to assess the solvency risks and liquidity needs facing the U.S. corporate sector based on projections of net income, availability and cost of funding, and debt servicing flows under different stress test...

Estimates of the natural interest rate are often useful in the analysis of monetary and other macroeconomic policies. The topic gathered much attention following the great financial crisis and the Euro Area debt crisis due to the uncertainty regarding the timing of monetary policy normalization...

The COVID-19 pandemic further extended the multi-year housing boom in advanced economies and emerging markets alike against massive monetary easing during the pandemic. In this paper, we analyze the pricing-out phenomenon in the U.S. residential housing market due to higher house prices...